TRENDING
Moiz Baig, Security Solutions at Nokia MEA
Nokia´s three pillars to augment Telco’s
security operation teams
by detecting CPU activity spikes or unusual
levels of keep-alive signaling. With Machine
Learning, the effectiveness to identify
communication patterns of viruses and
threats would increase continuously.
a range of new use cases with a variety of
specific requirements. These use cases include
support for an enormous density of mobile
devices and the need for ultra-low latency
communications, they place a high demand
on the dependability of the network. Human
safety and even human lives depend on the
availability and integrity of the network service.
“To support each use case in an optimal way,
security capabilities will need to be more
flexible. For example, security mechanisms
used for ultra-low latency, mission-critical
applications may not be suitable for massive
IoT deployments where mobile devices
are inexpensive sensors that have a very
limited energy budget and transmit data
only occasionally,” Moiz observes. Another
driver for 5G security is the changing
ecosystem. LTE networks are dominated
by large monolithic deployments – each
controlled by a single network operator that
owns the network infrastructure while also
providing all network services. In contrast, 5G
networks may be deployed by a number of
specialised stakeholders providing end-user
5G network services. According to Moiz, the
new 5G architecture itself introduces new
types of security threats and an increased
attack surface. The potential for dynamic
configurations in 5G requires new, dynamic
and flexible security architectures. 5G
network slices must be appropriately secured
for different use cases, and as a result,
telcos must focus on measurable security
management and assurance.
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INTELLIGENTCIO
“Network security solutions must adapt to
this new 5G architecture. To support the
dynamic network requirements of 5G for
example firewalls must not only be virtualised.
They must also be cloud-native continuously
orchestrated to meet the performance
demands of virtual networks and to support
other requirements, such as elastic scaling.
A holistic view of the entire mobile transport
network and client nodes is necessary so that
network operators can apply
sufficient security measures,
with optimal network
placement and design,”
he recommends.
“Telcos will need to take advantage of
multi-dimensional security analytics for
rapid detection of threats. A new, dynamic,
massively scalable, distributed security
paradigm is required to ensure integrity
across and through each layer of the network,
ensuring that the people, process and tools
are aligned with the telco’s security strategy
Nokia´s view of customer needs for complete
Security lifecycle
Modernise to mitigate
with security analytics,
Machine Learning
and automation
Moiz advises that telcos
need to replace today’s
manually-intensive
approaches with security management
systems built on three pillars – security
analytics, Machine Learning and automation
– as reflected in Nokia’s NetGuard security
solution. Security analytics correlates data
from across the network, devices and
cloud layers to spot suspicious anomalies
and provide insight into the nature of the
threat, the associated business risk and
recommended response. In an example of
a device functioning correctly but leaking
data, security analytics could spot trouble
and network architecture evolution. Nokia
has a wide range of services that can help
operators achieve these goals,” Moiz stresses.
Telcos are now moving into the 5G era. As
telcos around the globe get ready for 5G
(more phones, more bandwidth and more
b2b use-cases), modern security tools are a
must to help protect their networks and their
customers, as the traditional security models
are simply not enough to deal with the
increased threat landscape and challenges
5G will bring to security. n
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